[PDF] Top 20 Non-linear state error based extended Kalman filters with applications to navigation
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Non-linear state error based extended Kalman filters with applications to navigation
... Estimation non linéaire, Filtrage de Kalman étendu, Navigation, Localisa- tion et Cartographie Simultanées, Méthodes ...of non-linear state errors to devise ex- tended ... Voir le document complet
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Non-linear state error based extended Kalman filters with applications to navigation
... Estimation non linéaire, Filtrage de Kalman étendu, Navigation, Localisation et Cartographie Simultanées, Méthodes ...of non-linear state errors to devise ex- tended ... Voir le document complet
179
The Invariant Extended Kalman Filter as a Stable Observer
... adapted to the specific structure of the system, completely outperforms the ...5 Navigation on flat earth In this example we estimate the orientation, velocity, and position of a rigid body in space from ... Voir le document complet
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Application and comparison of Kalman filters for coastal ocean problems: An experiment with FVCOM
... and Kalman filters ...in applications with full data coverage of the model domain, but can lead to unrealistic density gradients and current shears at the data boundary when the data ... Voir le document complet
18
Estimation for dynamical systems using a population-based Kalman filter - Applications to pharmacokinetics models
... want to recover the individual parameters that have produced some ...leads to solve an ODE constrained optimization ...procedure with a variety of techniques based on maximum likelihood ... Voir le document complet
25
ECG Denoising using Angular Velocity as a State and an Observation in an Extended Kalman Filter Framework
... an Extended Kalman Filter (EKF) algorithm for denoising ECG signals (called ...two state variables and two corre- sponding ...[5] extended EKF2 framework and added parameters of ECG dynamical ... Voir le document complet
5
Extended Lagrangian approach for the defocusing Non-Linear Schrödinger equation
... step to invert an elliptic operator in the computational domain ...how to impose the trans- parent boundary conditions for general dispersive systems allowing us to avoid ‘parasitic reflection’ from ... Voir le document complet
20
Integrating RJMCMC and Kalman filters for multiple object tracking
... 4.2 Results on simulated remotely sensed data In this case, the interest lies in detecting and tracking the moving boats in the scene. The first sequence consists of 50 frames each of 670 × 221 pixels and contains 3 ... Voir le document complet
5
Kalman filtering with a class of geometric state equality constraints
... the non-linear case, the initial subset in which the state lives may not be a vector ...lead to updates that remain in that space. In turn, this leads the EKF to degradated performance, ... Voir le document complet
7
Fast Filtering in Switching Approximations of Non-linear Markov Systems with Applications to Stochastic Volatility
... method to estimate the latent variables in non-linear and non-Gaussian systems, called CGOMSM-ABF for ‘conditionally Gaussian observed Markov switching model - Approximation Based ... Voir le document complet
10
Weak Input to state estimates for 2D damped wave equations with localized and non-linear damping
... tends to zero as |v| tends to innity with a linear behavior in a neighborhood of the ...extension to the innite dimensional context of [14] where the nonlinearity is of the saturation ... Voir le document complet
26
Using pseudo Kalman-filters in the presence of constraints application to sensing behaviors
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
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The Kalman filter in finance: An application to term structure models of commodity prices and a comparison between the simple and the extended filters
... ability to reproduce the dynamic of the term structure of futures prices An other way to appreciate a model’s performances is to see if it is able to reproduce the price’s ...able to ... Voir le document complet
24
A contribution to non-linear PDEs with applications to the level set method, non-Newtonian fluid flows and the Boltzmann equation
... of non-fattening of the zero level set is necessary in order to prove ...not to develop an interior. We note that for our method we do not need to assume a non-fattening condition or ... Voir le document complet
125
Error covariance bounds for suboptimal filters with Lipschitzian drift and Poisson-sampled measurements
... interesting to address similar questions with other types of distri- butions on the measurement process as most of the developments in the current work are specific to Poisson processes of constant ... Voir le document complet
27
A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
... seeks to prove the state error, ...tends to zero. Often the observers can be only proved to be locally convergent, ...belong to some attraction basin containing ...paper, ... Voir le document complet
10
Neural-Network-based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-derived Sea Surface Temperature
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ... Voir le document complet
16
Analysis of linear structures with non linear dampers
... possible to develop methods which are not based on the superposition ...not based on a superposition of different contributions any- more, but rather on a discretization of time in small time ... Voir le document complet
6
A non-overlapping optimized Schwarz method for the heat equation with non linear boundary conditions and with applications to de-icing
... the simulation of icing phenomena with a triple layer model. Finite Elements in Analysis and Design, 150:20–33, 2018. 413 [8] R´ emi Chauvin, Philippe Villedieu, and Pierre Trontin. A robust coupling algorithm ... Voir le document complet
31
Residual error based adaptive mesh refinement with the non-intrusive patch algorithm
... Mesh refinement with patches of finite elements Starting from an initial mesh on Ω , the classical residual based error estimate, defined by 20, is used to build an error map, which is t[r] ... Voir le document complet
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